Grant: Alliance Grants

With the rapid growth in the number of smart devices, service types/demands and network complexity with the increased inflow of raw data, leveraging intelligence into future wireless networks to make them more intelligent and automotive, has become a crucial need. B5G/6G wireless networks are expected to create a foundation for intelligent and dynamic networks, with some isolated Artificial Intelligence (AI) operations. However, full-fledged intelligence and automation, with the capabilities of self-configuration, self-optimization, and self-healing operations, will require significant amount of further research, which seems feasible only in B5G/6G wireless networks, with the incorporation of emerging AI/Machine Learning (ML) techniques. As part of this objective, an important issue in many IoT verticals is to achieve efficient information handling. The objective of the proposed research is to develop, in collaboration with Purdue University in USA, novel and efficient AI/ML-based solutions for Intelligent Sensing, Data driven Processing and Context Aware Information Handling in Sensor/IoT Communications. The outcomes of the proposed research will significantly benefit the scientific communities in addressing various underlying technical issues in B5G/6G networks, and in addressing several societal challenges by supporting the ever-increasing massive number of heterogeneous devices and sophisticated applications. Two HQPs will be trained and equipped with solid fundamental knowledge in the R&D of AI/ML-assisted solutions for B5G/6G wireless networks. The developed solutions can be incorporated by Canadian operators into the evolving data-centric, distributed, autonomous wireless networks, that can be effectively controlled and managed, leading to significant benefits in terms of deployment flexibility, agility, resource utilization efficiency, and reduction of operating cost.